Borrowing it
Nothing to install: this file belongs to davidmatousek/tachi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davidmatousek/tachi/main/.claude/skills/aod-lens/SKILL.mdgit clone --depth 1 https://github.com/davidmatousek/tachiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davidmatousek/tachi/aod-lens)<a href="https://agentmods.dev/skills/davidmatousek/tachi/aod-lens"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/aod-lens/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davidmatousek/tachi/aod-lens"><img src="https://agentmods.dev/badge/skills/davidmatousek/tachi/aod-lens.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.00857 |
| Opus 5 | $0.00046 | $0.00428 |
| Sonnet 5 | $0.00019 | $0.00171 |
| Haiku 4.5 | $0.00009 | $0.00086 |
Grade A, and why
aod-lens scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- aod-lens — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thinking Lens Skill
Router that selects and applies thinking methodologies from docs/core_principles/.
Keyword → Lens Routing
| Keywords | Lens | File |
|---|---|---|
| "failed", "broke", "why did", "root cause" | 5 Whys | 01-FIVE_WHYS_METHODOLOGY.md |
| "assumptions", "fundamentally", "from scratch" | First Principles | 02-FIRST_PRINCIPLES.md |
| "risks", "could go wrong", "before we start" | Pre-Mortem | 03-PRE_MORTEM.md |
| "guarantee failure", "avoid", "anti-patterns" | Inversion | 04-INVERSION.md |
| "prioritize", "most value", "80/20" | Pareto Analysis | 05-PARETO_ANALYSIS.md |
| "architecture", "interact", "components" | Systems Thinking | 06-SYSTEMS_THINKING.md |
| "consequences", "downstream", "side effects" | Second-Order Effects | 07-SECOND_ORDER_EFFECTS.md |
| "blocked", "bottleneck", "dependencies" | Constraint Analysis | 08-CONSTRAINT_ANALYSIS.md |
| "challenge", "critique", "wrong with this" | Devil's Advocate | 09-DEVILS_ADVOCATE.md |
| "compare", "choose between", "options" | Comparative Analysis | 10-COMPARATIVE_ANALYSIS.md |
| "trade-off", "giving up", "sacrifice" | Opportunity Cost | 11-OPPORTUNITY_COST.md |
| "explain", "purpose", "why does this exist", "complete picture" | Four Causes | 12-FOUR_CAUSES.md |
| "going through motions", "process theater", "cargo cult", "actually working", "vibe coding" | Cargo Cult Detection | 13-CARGO_CULT_DETECTION.md |
| "how much", "balance", "calibrate", "sweet spot", "too much", "too little", "spectrum" | Golden Mean | 14-GOLDEN_MEAN.md |
Workflow
- Route: Match user keywords to lens using table above
- Load: Read full methodology from
docs/core_principles/[FILE] - Apply: Follow the step-by-step process and use template from that file
If ambiguous, ask:
"Would you like to focus on risks (Pre-Mortem), root cause (5 Whys), or trade-offs (Opportunity Cost)?"
Quick Reference
| Problem Type | Lens |
|---|---|
| Something failed | 5 Whys |
| Planning something risky | Pre-Mortem |
| Choosing between options | Comparative Analysis |
| Understanding a system | Systems Thinking |
| Prioritizing work | Pareto Analysis |
| Understanding why something exists | Four Causes |
| Checking if a practice is actually working | Cargo Cult Detection |
| Finding the right balance/amount | Golden Mean |
| Not sure | Pre-Mortem (safest default) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 63 lines · 93 tokens per session scan A 6e9b813d8c2c
aod-lens is a skill published in the GitHub repository davidmatousek/tachi (91 stars, last pushed 27d ago), licensed Apache-2.0. It adds 93 tokens to every session and 857 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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